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mucunwuxian's Projects

6drepnet icon 6drepnet

Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.

ailia-models icon ailia-models

The collection of pre-trained, state-of-the-art AI models for ailia SDK

blueoil icon blueoil

Bring Deep Learning to small devices

brfv4_javascript_examples icon brfv4_javascript_examples

BRFv4 - HTML5/Javascript - examples project. Reference implementation for all other platform example packages.

co-detr icon co-detr

[ICCV 2023] DETRs with Collaborative Hybrid Assignments Training

damo-yolo icon damo-yolo

DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

deblurgan icon deblurgan

Image Deblurring using Generative Adversarial Networks

deep-high-resolution-net.pytorch icon deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

detectron icon detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

facerecognition icon facerecognition

A mobilenet SSD based face detector, powered by tensorflow object detection api, trained by WIDERFACE dataset.

higherhrnet-human-pose-estimation icon higherhrnet-human-pose-estimation

This is an official implementation of our CVPR 2020 paper "HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation" (https://arxiv.org/abs/1908.10357)

hrnet-object-detection icon hrnet-object-detection

Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).

human-pose-estimation.pytorch icon human-pose-estimation.pytorch

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

interpret icon interpret

Fit interpretable models. Explain blackbox machine learning.

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